Since day one, Qstream has been dedicated to making learning better and more effective, and at its core, that starts with the experience users have when using our microlearning platform. Over the years, we’ve made significant updates, from introducing our AI Author Assistant to adding new learning formats for better learner engagement to our latest change: a fresh set of terminology.
Let’s explore what’s new and see how these changes support smooth course-building and engaging microlearning experiences.
Why we’re updating our terminology
We live in a world where we’re constantly seeing new, exciting AI technology emerge and Qstream is no different. Our product has evolved a lot, and we knew now was the perfect time to take the leap and make your experiences — from course creation to navigation — even more intuitive.
Our goal is to align the current platform functionality with the terminology used across it. By prioritizing clear, natural phrasing, we can make your ability to deliver Qstream microlearning even more seamless.
What to expect going forward
Navigation
We’ve updated the name of each section in our platform to follow the natural flow of work, starting with the setup of your Qstream instance, moving to creating content, launching courses and measuring learning experiences, and lastly to the learning dashboard.
Learning objects
We’re shifting our language to standard terminology to make it easier for Authors to create content and for Program Managers to develop their courses. The author flow starts intuitively by creating activities, grouping them in a set and building a microlearning course.
Spaced learning settings
We’ve updated the name of one of our delivery options to make it easier for Program Managers to select the best option for their use case. We’ve updated the delivery option traditionally known as “Classic” to “Reinforcement” to provide an easy-to-understand, descriptive term that better matches the knowledge reinforcement learning experience this setting supports.
Learner role
Instead of “participants”, we’re shifting to the term “learner”, aligning with our renamed navigation tab, Learn. This space is where learners will spend most of their time. Maintaining consistent terminology will ensure their experience is smooth.
Activity styles
The terms we use for our activity styles have seen some of the biggest updates, making them more identifiable for both authors and learners. For example, we’ve reacted to feedback to make it clear that activities can be used for communication or “content only” microlearning, in addition to questions and challenges that support knowledge reinforcement. You’ll see our once “Classic” activity format has been renamed to the descriptive term “Multiple Choice”.
In our AI Author Assistant, we’ve renamed the style options to better capture the learning experience rather than the activity format. This gives authors a clear understanding of the outcomes they can expect when building their course.
And these updates are just the start of what’s to come! We can’t share too much yet, but we’re gearing up for a great year ahead.
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